Seacoast Banking Corp Of Florida (SBCF) Occupancy Expense (2015 - 2026)
Seacoast Banking Corp Of Florida's Occupancy Expense was $9.59 million in Q2 2026, up 28.2% from $7.48 million a year earlier and up 3.9% from the prior quarter.
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Analysis
Seacoast Banking Corp Of Florida (SBCF) Occupancy Expense (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seacoast Banking Corp Of Florida's Occupancy Expense was $35.78 million through Jun 30, 2026, up 22.7% year-over-year; for FY2025, it came in at $31.79 million, up 7.6% from FY2024.
- Occupancy Expense shows a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- In earlier years, Occupancy Expense was $29.55 million in FY2024 (-7.3%), $31.87 million in FY2023 (+42.7%), $22.34 million in FY2022 (+58.0%) and $14.14 million in FY2021 (-0.1%).
- The Q2 2026 figure marks the highest quarterly Occupancy Expense in data going back to Q1 2015.
- Compared with a year earlier, Occupancy Expense has increased for five straight quarters, with growth averaging 9.2% over the last eight quarters.
- The best year-over-year quarter for Occupancy Expense over five years was Q4 2022 (growth of 164.5%); the worst was Q4 2023 (a decline of 18.8%).
- Per Business Quant data, SBCF's Occupancy Expense in the three quarters before Q2 2026 was $9.24 million (Q1 2026), $9.33 million (Q4 2025) and $7.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Seacoast Banking Corp Of Florida | 3.27 Bn | 1.34 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.39 Mn |
| Jun 30, 2026 | 9.59 Mn |
| Mar 31, 2026 | 9.24 Mn |
| Dec 31, 2025 | 9.33 Mn |
| Sep 30, 2025 | 7.63 Mn |
| Jun 30, 2025 | 7.48 Mn |
| Mar 31, 2025 | 7.35 Mn |
| Dec 31, 2024 | 7.23 Mn |
| Sep 30, 2024 | 7.10 Mn |
| Jun 30, 2024 | 7.18 Mn |
| Mar 31, 2024 | 8.04 Mn |
| Dec 31, 2023 | 7.51 Mn |
| Sep 30, 2023 | 7.76 Mn |
| Jun 30, 2023 | 8.58 Mn |
| Mar 31, 2023 | 8.02 Mn |
| Dec 31, 2022 | 9.26 Mn |
| Sep 30, 2022 | 5.05 Mn |
| Jun 30, 2022 | 4.05 Mn |
| Mar 31, 2022 | 3.99 Mn |
| Dec 31, 2021 | 3.50 Mn |
API Access
Seacoast Banking Corp Of Florida Occupancy Expense API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=occupancy-expense&ticker=SBCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "SBCF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();